Blog

Stories from the gateway

Fundamentals

Long Context Degradation: How Quality Falls Before the Limit

Accuracy does not hold flat and then fall off a cliff at the context limit. It declines gradually, and the decline starts far earlier than most teams assume.

· 9 min read
AI Agents

Map-Reduce With Agents: Splitting Work That Actually Splits

Map-reduce over an LLM is not the same as map-reduce over data. Where the shape works, where the reduce step quietly loses information, and how to fix it.

· 9 min read
Fundamentals

max_tokens and Truncation: Why Your Output Stops Mid-Sentence

· 8 min read
AI Agents

MCP Server Design: Fewer Tools, Sharper Boundaries

· 9 min read
AI Agents

MCP Transport Options: stdio, HTTP and When Each Fits

· 8 min read
AI Agents

MCP vs Plain Tool Calling: When the Protocol Earns Its Keep

· 8 min read
AI Agents

Measuring Agent Success Rate Without Fooling Yourself

· 9 min read
Models

MiniMax M2.7 vs M3: How to Judge an In-Family Upgrade

· 8 min read
Models

MiniMax M2.7: Should You Still Be Running It?

· 9 min read
Models

MIT-Licensed Models: What You Can Actually Build On

· 9 min read
Models

Model Deprecation and Migration: Planning for the Sunset

· 9 min read
Models

Model Drift in Production: Detecting Quality Change With No Error

· 9 min read
Fundamentals

Model Parallelism: How Huge Models Are Split to Run

· 9 min read
Models

Model Release Cadence in 2026: Building for a Moving Target

· 9 min read

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